School of Engineering - Lecturer (Electrical & Semiconductor Engineering)

[What the role is]

School of Engineering - Lecturer (Electrical Engineering, Semiconductor Technology & Manufacturing)

[What you will be working on]

•    Deliver and develop lessons in electrical engineering, electronics, microelectronics and semiconductor technology. 
•    Teach topics such as circuit analysis, analogue and digital electronics, semiconductor devices, IC fundamentals, instrumentation and engineering applications. 
•    Deliver semiconductor modules covering wafer fabrication, process integration, semiconductor manufacturing, testing, packaging, reliability and yield engineering. 
•    Develop curriculum, laboratories and projects involving AI-enabled semiconductor manufacturing, smart factories, semiconductor data analytics, intelligent process control, computer vision and Industry 4.0 technologies. 
•    Develop and conduct CET programmes, including Specialist Diploma and Part-time Diploma courses. 
•    Supervise student projects, internships and applied learning activities. 
•    Collaborate with industry and university partners on curriculum development, applied projects and industry engagement. 
•    Support outreach activities, student development and administrative duties.

[What we are looking for]

•    Strong fundamentals in electronics, electrical engineering, semiconductor devices and microelectronics. 
•    Knowledge or exposure in one or more areas: 
•    Semiconductor manufacturing and wafer fabrication
•    Equipment, process or product engineering
•    Testing, reliability or yield engineering
•    Advanced packaging or semiconductor automation
•    Interest or experience in AI for semiconductor applications, including: 
    - Yield prediction
    - Defect detection and classification
    - Computer vision for wafer inspection
    - Predictive maintenance
    - Manufacturing analytics
    - Digital twins
    - Smart manufacturing and Industry 4.0
    - AI-enabled process optimisation
•    Exposure to emerging technologies such as advanced packaging, chiplets, silicon photonics, AI accelerators, high-bandwidth memory (HBM) or SiC/GaN devices will be advantageous.
•    Ability to utilise AI tools for engineering, teaching and applied projects. 
•    Passion for teaching, mentoring and engaging youths. 
•    Strong communication and interpersonal skills.